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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
⚡whisper-tiny-en is 738ms faster than gpt-3.5-turbo-0125
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
whisper-tiny-en is 911% faster
| Spec | whisper-tiny-en | gpt-3.5-turbo-0125 |
|---|---|---|
| Provider | openai | openai |
| Input price / 1M tokens | Free | Free |
| Output price / 1M tokens | — | — |
| Context window | — | — |
| Latency (p50) | 81ms | 819ms |
| Best benchmark score | — | — |
| Open source | No | No |
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition.
This cost-effective large language model excels at conversational tasks, content generation, and general-purpose text processing, making it ideal for developers and businesses seeking a balance between capability and affordability for production applications.
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